Energy-efficient alternating iterative secure structure of maximizing secrecy rate for directional modulation networks

Sun, Li; Li, Jiayu; Zhang, Yu; Wang, Yuntian; Gui, Linqing; Li, Fanyuan; Li, Haochen; Zhuang, Zhihong; Shu, Feng

doi:10.1016/j.phycom.2019.100949

Cited by 5 publications

(2 citation statements)

References 37 publications

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“…As an effective physical layer transmission technology suitable for the line-of-sight propagation channels, directional modulation (DM) attracts increasingly research attentions from both industry and academic world in [13]- [16]. DM technology mainly addresses the problem of CM leakage in the process of transmitting information in the desired direction by designing CM beamforming, and at the same time distorts the signal constellation in the undesired direction using AN projection, such that undesired users cannot recover original signal correctly [14].…”

Section: Introductionmentioning

confidence: 99%

Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks

Yang¹,

Rongen²,

Chen³

et al. 2022

Preprint

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As an excellent tool for aiding communication, intelligent reflecting surface (IRS) can extend the coverage area, remove blind area, and achieve a dramatic rate improvement. In this paper, we improve the secret rate (SR) performance at directional modulation (DM) networks using IRS. To fully explore the benefits of IRS, two efficient methods are proposed to enhance SR performance. The first approach computes the confidential message (CM) beamforming vector by maximizing the SR, and the signal-to-leakage-noise ratio (SLNR) method is used to optimize the IRS phase shift matrix, which is called Max-SR-SLNR. Here, Eve is maximally interfered by transmitting artificial noise (AN) along the direct path and null-space projection (NSP) on the remaining two channels. To reduce the computational complexity, the CM, AN beamforming and IRS phase shift design are independently designed in the following methods. The CM beamforming vector is constructed based on maximum ratio transmission (MRT) criteria along the channel from Alice-to-IRS, and phase shift matrix of IRS is directly given by phase alignment (PA) method. This method is called MRT-NSP-PA. Simulation results show that the SR performance of the Max-SR-SLNR method outperforms the MRT-NSP-PA method in the cases of small-scale and medium-scale IRSs, and the latter approaches the former as IRS tends to lager-scale.

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Section: Introductionmentioning

confidence: 99%

Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks

Yang¹,

Rongen²,

Chen³

et al. 2022

Preprint

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show abstract

“…Traditional DM synthesis formed an orthogonal vector or projection matrix in the null space (NS) of channel along the desired direction, which can be seen as a kind of NS projection (NSP) schemes [12]. [13] proposed an energy-efficient alternating iterative scheme and discussed the secure energy efficiency for DM system. [14] has considered the secure performance analysis related to the quantization error caused by phase shifters, which inspires the hardware cost in the practical application of DM.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS

Shu¹,

Li²,

Huang³

et al. 2020

Preprint

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Intelligent reflecting surface (IRS) is of low-cost and energy-efficiency and will be a promising technology for the future wireless communications like sixth generation. To address the problem of conventional directional modulation (DM) that Alice only transmits single confidential bit stream (CBS) to Bob with multiple antennas in a line-of-sight channel, IRS is proposed to create friendly multipaths for DM such that two CBSs can be transmitted from Alice to Bob. This will significantly enhance the secrecy rate (SR) of DM. To maximize the SR (Max-SR), a general non-convex optimization problem is formulated with the unit-modulus constraint of IRS phase-shift matrix (PSM), and the general alternating iterative (GAI) algorithm is proposed to jointly obtain the transmit beamforming vectors (TBVs) and PSM by alternately optimizing one and fixing another. To reduce its high complexity, a low-complexity iterative algorithm for Max-SR is proposed by placing the constraint of null-space (NS) on the TBVs, called NS projection (NSP). Here, each CBS is transmitted separately in the NSs of other CBS and AN channels. Simulation results show that the SRs of the proposed GAI and NSP can approximately double that of IRS-based DM with single CBS for massive IRS in the high signal-to-noise ratio region.

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Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS

Shu,

Wang

2023

Wireless Networks

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Energy-efficient alternating iterative secure structure of maximizing secrecy rate for directional modulation networks

Cited by 5 publications

References 37 publications

Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks

Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks

Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS

Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS

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